The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-27"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "9979535 (up from 9801572 yesterday: 1.82 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "498710 (up from 494181 yesterday: 0.92 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2510151 42597 1.73 125539 500 0.40 5.00
Brazil 1313667 38693 3.03 57070 1109 1.98 4.34
Russia 626779 6843 1.10 8958 188 2.14 1.43
India 528859 19906 3.91 16095 410 2.61 3.04
United Kingdom 311727 891 0.29 43598 100 0.23 13.99
Peru 275989 3625 1.33 9135 196 2.19 3.31
Chile 267766 4406 1.67 5347 279 5.51 2.00
Spain 248469 564 0.23 28341 3 0.01 11.41
Italy 240136 175 0.07 34716 8 0.02 14.46
Iran 220180 2456 1.13 10364 125 1.22 4.71
Mexico 212802 4410 2.12 26381 602 2.34 12.40
Pakistan 202955 4072 2.05 4118 83 2.06 2.03
France 199473 0 0.00 29781 0 0.00 14.93
Turkey 195883 1372 0.71 5082 17 0.34 2.59
Germany 194458 422 0.22 8968 3 0.03 4.61
Saudi Arabia 178504 3927 2.25 1511 37 2.51 0.85
Bangladesh 133978 3504 2.69 1695 34 2.05 1.27
South Africa 131800 7210 5.79 2413 73 3.12 1.83
Canada 104878 249 0.24 8576 5 0.06 8.18
Qatar 93663 879 0.95 110 1 0.92 0.12
China 84743 18 0.02 4641 0 0.00 5.48
Colombia 84660 3849 4.76 2946 160 5.74 3.48
Sweden 65137 0 0.00 5280 0 0.00 8.11
Egypt 63923 1168 1.86 2708 88 3.36 4.24
Belgium 61209 103 0.17 9732 1 0.01 15.90
Belarus 61095 382 0.63 377 4 1.07 0.62
Argentina 57744 2401 4.34 1207 23 1.94 2.09
Ecuador 54574 718 1.33 4424 18 0.41 8.11
Indonesia 52812 1385 2.69 2720 37 1.38 5.15
Netherlands 50282 69 0.14 6124 2 0.03 12.18
United Arab Emirates 47360 387 0.82 311 1 0.32 0.66
Kuwait 44391 688 1.57 344 3 0.88 0.77
Iraq 43262 2069 5.02 1660 101 6.48 3.84
Singapore 43246 291 0.68 26 0 0.00 0.06
Ukraine 42932 957 2.28 1121 24 2.19 2.61
Portugal 41189 323 0.79 1561 6 0.39 3.79
Oman 36953 919 2.55 159 6 3.92 0.43
Philippines 34803 730 2.14 1236 12 0.98 3.55
Poland 33714 319 0.96 1435 6 0.42 4.26
Switzerland 31555 69 0.22 1962 0 0.00 6.22
Bolivia 30676 1253 4.26 970 36 3.85 3.16
Panama 30658 753 2.52 592 17 2.96 1.93
Dominican Republic 30619 855 2.87 718 6 0.84 2.34
Afghanistan 30616 165 0.54 703 20 2.93 2.30
Romania 26022 325 1.26 1589 10 0.63 6.11
Ireland 25437 23 0.09 1734 4 0.23 6.82
Bahrain 25267 462 1.86 78 5 6.85 0.31
Nigeria 24077 779 3.34 558 4 0.72 2.32
Armenia 23909 662 2.85 421 11 2.68 1.76
Israel 23421 621 2.72 317 3 0.96 1.35
Kazakhstan 20319 0 0.00 166 16 10.67 0.82
Japan 18254 92 0.51 971 0 0.00 5.32
Austria 17580 58 0.33 700 2 0.29 3.98
Honduras 17007 1013 6.33 479 8 1.70 2.82
Ghana 16431 597 3.77 103 0 0.00 0.63
Guatemala 16397 569 3.59 706 34 5.06 4.31
Moldova 16080 304 1.93 521 6 1.17 3.24
Azerbaijan 15890 521 3.39 193 6 3.21 1.21
Serbia 13792 227 1.67 267 2 0.75 1.94
Algeria 12968 283 2.23 892 7 0.79 6.88
Denmark 12875 0 0.00 604 0 0.00 4.69
Korea, South 12715 62 0.49 282 0 0.00 2.22
Cameroon 12592 0 0.00 313 0 0.00 2.49
Nepal 12309 554 4.71 28 1 3.70 0.23
Morocco 11877 244 2.10 220 2 0.92 1.85
Czechia 11298 260 2.36 349 0 0.00 3.09
Sudan 9257 0 0.00 572 0 0.00 6.18
Cote d’Ivoire 8944 205 2.35 66 2 3.12 0.74
Norway 8846 14 0.16 249 0 0.00 2.81
Malaysia 8616 10 0.12 121 0 0.00 1.40
Australia 7686 85 1.12 104 0 0.00 1.35
Uzbekistan 7682 255 3.43 20 0 0.00 0.26
Finland 7198 7 0.10 328 0 0.00 4.56
Congo (Kinshasa) 6690 138 2.11 153 4 2.68 2.29
Senegal 6459 105 1.65 102 4 4.08 1.58
North Macedonia 5906 148 2.57 277 9 3.36 4.69
Kenya 5811 278 5.02 141 4 2.92 2.43
Tajikistan 5799 52 0.90 52 0 0.00 0.90
Haiti 5777 55 0.96 100 2 2.04 1.73
El Salvador 5727 210 3.81 143 10 7.52 2.50
Ethiopia 5570 145 2.67 94 5 5.62 1.69
Guinea 5291 31 0.59 30 1 3.45 0.57
Gabon 5209 0 0.00 40 0 0.00 0.77
Venezuela 5130 351 7.34 42 1 2.44 0.82

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 391923 703 0.18 31368 26 0.08 8.00 20146.59 1612.46 1 in 50
California 210584 3740 1.81 5899 31 0.53 2.80 5329.59 149.30 1 in 188
New Jersey 170873 289 0.17 14948 34 0.23 8.75 19237.71 1682.92 1 in 52
Texas 145894 5721 4.08 2388 34 1.44 1.64 5031.54 82.36 1 in 199
Illinois 141077 786 0.56 6873 26 0.38 4.87 11133.13 542.38 1 in 90
Florida 132545 9585 7.80 3390 24 0.71 2.56 6171.27 157.84 1 in 162
Massachusetts 108443 373 0.35 8040 28 0.35 7.41 15604.43 1156.92 1 in 64
Pennsylvania 89446 586 0.66 6603 24 0.36 7.38 6986.88 515.78 1 in 143
Georgia 74985 1990 2.73 2776 6 0.22 3.70 7062.45 261.46 1 in 142
Arizona 70124 3465 5.20 1580 44 2.86 2.25 9208.80 207.49 1 in 109
Michigan 69679 350 0.50 6153 19 0.31 8.83 6977.07 616.11 1 in 143
Maryland 66450 335 0.51 3157 15 0.48 4.75 10991.32 522.19 1 in 91
Virginia 61247 677 1.12 1724 24 1.41 2.81 7175.54 201.98 1 in 139
North Carolina 60812 1654 2.80 1353 5 0.37 2.22 5798.20 129.00 1 in 172
Louisiana 54769 0 0.00 3190 0 0.00 5.82 11781.34 686.20 1 in 85
Ohio 49455 817 1.68 2804 16 0.57 5.67 4230.86 239.88 1 in 236
Connecticut 46206 147 0.32 4311 4 0.09 9.33 12959.97 1209.16 1 in 77
Indiana 44575 435 0.99 2616 21 0.81 5.87 6621.15 388.58 1 in 151
Tennessee 40172 728 1.85 584 7 1.21 1.45 5878.97 85.47 1 in 170
Alabama 35083 900 2.63 919 12 1.32 2.62 7155.15 187.43 1 in 140
Minnesota 35033 417 1.20 1452 6 0.41 4.14 6211.93 257.46 1 in 161
Colorado 32006 226 0.71 1674 1 0.06 5.23 5557.82 290.69 1 in 180
South Carolina 31939 1604 5.29 711 17 2.45 2.23 6203.30 138.09 1 in 161
Washington 31404 549 1.78 1310 6 0.46 4.17 4124.02 172.03 1 in 242
Iowa 28073 356 1.28 704 0 0.00 2.51 8897.74 223.13 1 in 112
Wisconsin 27286 539 2.02 777 11 1.44 2.85 4686.36 133.45 1 in 213
Mississippi 25531 465 1.86 1035 13 1.27 4.05 8578.54 347.76 1 in 117
Utah 20628 578 2.88 167 1 0.60 0.81 6434.27 52.09 1 in 155
Missouri 20572 356 1.76 1004 7 0.70 4.88 3351.89 163.59 1 in 298
Arkansas 19310 570 3.04 259 10 4.02 1.34 6398.65 85.82 1 in 156
Nebraska 18775 251 1.35 267 1 0.38 1.42 9705.81 138.03 1 in 103
Rhode Island 16661 0 0.00 927 0 0.00 5.56 15727.41 875.06 1 in 64
Nevada 16339 1099 7.21 500 2 0.40 3.06 5304.60 162.33 1 in 189
Kentucky 15167 308 2.07 554 1 0.18 3.65 3394.83 124.00 1 in 295
Kansas 13617 155 1.15 268 3 1.13 1.97 4674.06 91.99 1 in 214
Oklahoma 12646 299 2.42 384 7 1.86 3.04 3195.88 97.04 1 in 313
New Mexico 11619 211 1.85 491 2 0.41 4.23 5541.22 234.16 1 in 180
Delaware 11091 74 0.67 507 0 0.00 4.57 11389.82 520.66 1 in 88
District of Columbia 10216 31 0.30 548 2 0.37 5.36 14475.40 776.48 1 in 69
Oregon 8094 276 3.53 202 0 0.00 2.50 1919.04 47.89 1 in 521
Puerto Rico 7066 144 2.08 152 1 0.66 2.15 2212.48 47.59 1 in 452
South Dakota 6626 91 1.39 91 3 3.41 1.37 7489.89 102.86 1 in 134
New Hampshire 5717 46 0.81 367 2 0.55 6.42 4204.57 269.91 1 in 238
Idaho 5322 457 9.39 91 1 1.11 1.71 2969.76 50.78 1 in 337
North Dakota 3458 37 1.08 78 0 0.00 2.26 4537.69 102.35 1 in 220
Maine 3154 52 1.68 104 1 0.97 3.30 2346.36 77.37 1 in 426
West Virginia 2782 52 1.90 93 1 1.09 3.34 1556.67 52.04 1 in 642
Wyoming 1392 24 1.75 20 0 0.00 1.44 2405.15 34.56 1 in 416
Vermont 1200 2 0.17 56 0 0.00 4.67 1923.11 89.75 1 in 520
Hawaii 872 6 0.69 18 1 5.88 2.06 615.87 12.71 1 in 1624
Montana 852 23 2.77 22 0 0.00 2.58 797.17 20.58 1 in 1254
Alaska 851 18 2.16 14 0 0.00 1.65 1163.29 19.14 1 in 860

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 3754579 391923 10.44 193002.14
California 3862310 210584 5.45 97749.75
New Jersey 1367250 170873 12.50 153931.63
Texas 1722826 145894 8.47 59416.23
Illinois 1522242 141077 9.27 120128.12
Florida 1829525 132545 7.24 85182.39
Massachusetts 826342 108443 13.12 118906.63
Pennsylvania 719081 89446 12.44 56169.47
Georgia 789813 74985 9.49 74388.39
Arizona 494747 70124 14.17 64970.97
Michigan 1000821 69679 6.96 100213.81
Maryland 513816 66450 12.93 84988.95
Virginia 617926 61247 9.91 72394.66
North Carolina 855131 60812 7.11 81533.58
Louisiana 678006 54769 8.08 145845.57
Ohio 744839 49455 6.64 63720.82
Connecticut 429548 46206 10.76 120480.62
Indiana 463017 44575 9.63 68776.28
Tennessee 748553 40172 5.37 109546.90
Alabama 384026 35083 9.14 78321.74
Minnesota 568907 35033 6.16 100876.62
Colorado 307583 32006 10.41 53411.55
South Carolina 351164 31939 9.10 68204.22
Washington 514428 31404 6.10 67555.51
Iowa 289752 28073 9.69 91836.95
Wisconsin 545950 27286 5.00 93766.63
Mississippi 277321 25531 9.21 93181.15
Utah 322802 20628 6.39 100688.16
Missouri 355290 20572 5.79 57889.07
Arkansas 283965 19310 6.80 94095.91
Nebraska 168598 18775 11.14 87157.41
Rhode Island 230508 16661 7.23 217591.55
Nevada 263026 16339 6.21 85393.73
Kentucky 350754 15167 4.32 78509.33
Kansas 167859 13617 8.11 57617.89
Oklahoma 325663 12646 3.88 82301.08
New Mexico 320638 11619 3.62 152915.66
Delaware 104262 11091 10.64 107071.12
District of Columbia 89271 10216 11.44 126491.15
Oregon 216868 8094 3.73 51418.09
Puerto Rico 7066 7066 100.00 2212.48
South Dakota 78100 6626 8.48 88282.60
New Hampshire 114768 5717 4.98 84406.17
Idaho 84056 5322 6.33 46904.55
North Dakota 102519 3458 3.37 134528.42
Maine 91932 3154 3.43 68391.00
West Virginia 164655 2782 1.69 92132.88
Wyoming 31798 1392 4.38 54941.69
Vermont 62723 1200 1.91 100519.40
Hawaii 74301 872 1.17 52477.20
Montana 81247 852 1.05 76018.59
Alaska 105581 851 0.81 144326.05

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 164626 11861 7.76 86575 52.59 70607 7429 323 4.55 4.51
Delhi 83077 5837 7.56 52607 63.32 27847 2623 131 5.26 3.16
Tamil Nadu 82275 7653 10.26 45537 55.35 35659 1079 122 12.75 1.31
Gujarat 31397 1239 4.11 22808 72.64 6780 1809 37 2.09 5.76
Uttar Pradesh 22147 1204 5.75 14808 66.86 6679 660 30 4.76 2.98
West Bengal 17283 1093 6.75 11193 64.76 5451 639 23 3.73 3.70
Rajasthan 17271 611 3.67 13611 78.81 3261 399 19 5.00 2.31
Telangana 14419 2070 16.76 5172 35.87 9000 247 10 4.22 1.71
Haryana 13829 945 7.33 8917 64.48 4689 223 12 5.69 1.61
Karnataka 13190 2185 19.85 7509 56.93 5470 207 27 15.00 1.57
Madhya Pradesh 13186 388 3.03 10084 76.48 2545 557 11 2.01 4.22
Andhra Pradesh 13098 1609 14.00 5908 45.11 7021 169 23 15.75 1.29
Bihar 9224 546 6.29 7156 77.58 2006 62 6 10.71 0.67
State Unassigned 7839 -284 -3.50 0 0.00 7839 0 0 NaN 0.00
Assam 7493 573 8.28 5089 67.92 2390 11 2 22.22 0.15
Jammu and Kashmir 7093 331 4.90 4316 60.85 2683 94 3 3.30 1.33
Odisha 6614 434 7.02 4743 71.71 1843 28 4 16.67 0.42
Punjab 5216 259 5.22 3526 67.60 1557 133 11 9.02 2.55
Kerala 4190 313 8.07 2150 51.31 2015 23 0 0.00 0.55
Uttarakhand 2823 98 3.60 2015 71.38 752 38 1 2.70 1.35
Chhattisgarh 2694 149 5.85 2062 76.54 619 13 0 0.00 0.48
Jharkhand 2364 70 3.05 1793 75.85 559 12 0 0.00 0.51
Tripura 1351 20 1.50 1086 80.38 264 1 0 0.00 0.07
Goa 1198 159 15.30 478 39.90 717 3 1 50.00 0.25
Manipur 1185 110 10.23 455 38.40 730 0 0 NaN 0.00
Ladakh 963 17 1.80 586 60.85 376 1 0 0.00 0.10
Himachal Pradesh 916 52 6.02 518 56.55 377 8 0 0.00 0.87
Puducherry 648 114 21.35 252 38.89 385 11 2 22.22 1.70
Chandigarh 431 6 1.41 336 77.96 89 6 0 0.00 1.39
Nagaland 415 44 11.86 164 39.52 251 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 188 19 11.24 69 36.70 118 0 0 NaN 0.00
Arunachal Pradesh 182 8 4.60 60 32.97 121 1 0 0.00 0.55
Mizoram 151 4 2.72 55 36.42 96 0 0 NaN 0.00
Sikkim 88 1 1.15 49 55.68 39 0 0 NaN 0.00
Andaman and Nicobar Islands 83 11 15.28 45 54.22 38 0 0 NaN 0.00
Meghalaya 50 2 4.17 42 84.00 7 1 0 0.00 2.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1014321 93664 77 0.08 9.23 415 43 10992 16626 17.75
Piemonte 408836 31322 11 0.04 7.66 303 12 1503 4080 13.03
Emilia-Romagna 483309 28435 42 0.15 5.88 106 11 1041 4252 14.95
Veneto 937417 19264 2 0.01 2.06 18 1 482 2007 10.42
Toscana 329865 10238 12 0.12 3.10 14 6 318 1103 10.77
Liguria 144156 9963 5 0.05 6.91 49 3 268 1557 15.63
Lazio 331599 8082 18 0.22 2.44 185 13 827 837 10.36
Marche 135122 6785 2 0.03 5.02 9 0 357 991 14.61
P.A. Trento 119039 4860 1 0.02 4.08 2 0 51 405 8.33
Campania 276025 4665 0 0.00 1.69 45 0 163 431 9.24
Puglia 173422 4531 0 0.00 2.61 27 0 147 543 11.98
Friuli Venezia Giulia 185651 3307 0 0.00 1.78 12 0 42 345 10.43
Abruzzo 103771 3285 0 0.00 3.17 31 2 337 461 14.03
Sicilia 204184 3077 1 0.03 1.51 20 4 130 281 9.13
P.A. Bolzano 83040 2636 2 0.08 3.17 4 1 87 292 11.08
Umbria 93571 1440 0 0.00 1.54 2 1 10 80 5.56
Sardegna 81351 1363 1 0.07 1.68 6 0 13 132 9.68
Valle d’Aosta 17988 1194 0 0.00 6.64 2 0 4 146 12.23
Calabria 93372 1179 1 0.08 1.26 9 0 31 97 8.23
Molise 22233 445 0 0.00 2.00 0 0 26 23 5.17
Basilicata 39001 401 0 0.00 1.03 1 0 7 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 55079 0 0.00 5448 0 0.00 9.89 6451.29 638.11 1 in 155
Ontario 36322 171 0.47 2711 5 0.18 7.46 2468.90 184.27 1 in 405
Alberta 7957 69 0.87 154 0 0.00 1.94 1803.02 34.90 1 in 555
British Columbia 2878 0 0.00 174 0 0.00 6.05 563.11 34.04 1 in 1776
Nova Scotia 1061 0 0.00 63 0 0.00 5.94 1085.47 64.45 1 in 921
Saskatchewan 777 5 0.65 13 0 0.00 1.67 657.55 11.00 1 in 1521
Manitoba 322 4 1.26 7 0 0.00 2.17 233.75 5.08 1 in 4278
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 165 0 0.00 2 0 0.00 1.21 211.54 2.56 1 in 4727
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1637 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1197 7 0.58
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 905 9 0.99
Shandong 792 7 0.88
Shanghai 707 7 0.99
Jiangsu 654 0 0.00
Sichuan 589 3 0.51
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 320 3 0.94
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 198 3 1.52
Yunnan 185 2 1.08
Hainan 171 6 3.51
Gansu 163 2 1.23
Jilin 155 2 1.29
Liaoning 154 2 1.30
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 7671.61 383.68 1 in 130
Brazil 6276.48 272.67 1 in 159
Russia 4337.57 61.99 1 in 231
India 394.97 12.02 1 in 2532
United Kingdom 4691.86 656.20 1 in 213
Peru 8579.08 283.96 1 in 117
Chile 14834.68 296.23 1 in 67
Spain 5325.10 607.39 1 in 188
Italy 3970.50 574.01 1 in 252
Iran 2712.91 127.70 1 in 369
Mexico 1647.07 204.19 1 in 607
Pakistan 1030.23 20.90 1 in 971
France 2977.65 444.56 1 in 336
Turkey 2423.99 62.89 1 in 413
Germany 2348.81 108.32 1 in 426
Saudi Arabia 5419.06 45.87 1 in 185
Bangladesh NA NA 1 in NA
South Africa 2323.70 42.54 1 in 430
Canada 2790.05 228.15 1 in 358
Qatar 35491.85 41.68 1 in 28

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 214434 22441 10.47
Los Angeles California 95385 3285 3.44
Cook Illinois 89407 4536 5.07
Maricopa Arizona 42374 741 1.75
Nassau New York 41725 2182 5.23
Suffolk New York 41253 1978 4.79
Westchester New York 34748 1419 4.08
Miami-Dade Florida 31562 947 3.00
Harris Texas 29162 369 1.27
Philadelphia Pennsylvania 25782 1591 6.17
Middlesex Massachusetts 23859 1849 7.75
Wayne Michigan 22579 2708 11.99
Suffolk Massachusetts 19764 1004 5.08
Dallas Texas 19595 351 1.79
Bergen New Jersey 19275 1983 10.29
Hudson New Jersey 18814 1448 7.70
Essex New Jersey 18696 2018 10.79
Prince George’s Maryland 18342 677 3.69
Passaic New Jersey 16868 1180 7.00
Middlesex New Jersey 16724 1317 7.87
Fairfield Connecticut 16606 1375 8.28
Union New Jersey 16353 1324 8.10
Essex Massachusetts 16028 1096 6.84
Riverside California 15643 438 2.80
Montgomery Maryland 14520 734 5.06
Broward Florida 14046 382 2.72
Fairfax Virginia 13728 468 3.41
Rockland New York 13566 667 4.92
Clark Nevada 13174 410 3.11
Palm Beach Florida 12928 492 3.81
San Diego California 12837 360 2.80
Providence Rhode Island 12712 0 0.00
Orange California 12462 323 2.59
Worcester Massachusetts 12303 920 7.48
New Haven Connecticut 12275 1069 8.71
Oakland Michigan 11886 1085 9.13
Hartford Connecticut 11558 1369 11.84
Hennepin Minnesota 11415 764 6.69
San Bernardino California 11290 248 2.20
Marion Indiana 11182 677 6.05
Tarrant Texas 11083 224 2.02
Milwaukee Wisconsin 10980 389 3.54
Orange New York 10710 478 4.46
Salt Lake Utah 10417 106 1.02
Mecklenburg North Carolina 10287 145 1.41
District of Columbia District of Columbia 10216 548 5.36
King Washington 9809 610 6.22
Lake Illinois 9608 414 4.31
Ocean New Jersey 9545 941 9.86
Jefferson Louisiana 9169 481 5.25

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc